比值导数法矿物组分光谱解混模型研究  

Research on the Model of Spectral Unmixing for Minerals Based on Derivative of Ratio Spectroscopy

作　　者：赵恒谦[1,2] 张立福[1] 吴太夏[1] 黄长平[1,2] 

机构地区：[1]遥感科学国家重点实验室中国科学院遥感应用研究所,北京100101 [2]中国科学院大学,北京100049

出　　处：《光谱学与光谱分析》2013年第1期172-176,共5页Spectroscopy and Spectral Analysis

基　　金：国家自然科学基金项目(41072248;41272364);国家重点基础研究发展计划(2010CB434800)资助

摘　　要：矿物丰度含量的精确分析是高光谱遥感技术定量分析中的难点。将化学领域的比值导数光谱算法进行总结,将其引入遥感反射率光谱分析,提出了基于线性光谱混合模型的比值导数光谱解混模型,并利用石膏和绿帘石粉末混合物进行了模型的精度分析。实验结果表明,矿物粉末混合物在不同波段其光谱混合特性有所不同,其中部分波段有较强的线性混合特征。采用部分强线性混合波段进行光谱解混,可以取得比全波段解混算法更好的结果。比值导数法光谱解混模型简洁,可以得到高精度的矿物成分反演结果,对于固定端元组成的混合光谱定量分析有较大潜力。The precise analysis of mineral abundance is a key difficulty in hyperspectral remote sensing research.In the present paper,based on linear spectral mixture model,the derivative of ratio spectroscopy（DRS） was introduced for spectral unmixing of visible to short-wave infrared（Vis-SWIR;0.4~2.5 μm） reflectance data.The mixtures of different proportions of plaster and allochite were analyzed to estimate the accuracy of the spectral unmixing model based on DRS.For the best 5 strong linear bands,the Pearson correlation coefficient（PCC） of the abundances and the actual abundances were higher than 99.9%,while the root mean square error（RMSE） is less than 2.2%.The result shows that the new spectral unmixing model based on DRS is simple,of rigorous mathematical proof,and highly precise.It has a great potential in high-precision quantitative analysis of spectral mixture with fixed endmembers.

关 键 词：高光谱 光谱解混 比值导数法 线性光谱混合模型 

分 类 号：P575.4[天文地球—矿物学]